Fairvalue-Calculator Fairvalue-Calculator
EN DE

Xinjiang Torch Gas Co (603080) Fair Value & Analysis

Utilities · CN · Market cap 2.9B CNY

Price¥20.68
Fair Value¥26.82
Upside+29.7%
Quality83/100
Evidence: Medium Range ¥20.12 – ¥35.70

Fair value as of: Jun 24, 2026

Analysis

Xinjiang Torch Gas Co (603080) currently trades at ¥20.68, while our model-based Fair Value estimate is ¥26.82 — implying the stock looks roughly 29.7% undervalued today. We read business quality at 83/100 (high quality), in the Utilities sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

Xinjiang Torch Gas Co., Ltd operates as a gas service company in China. The company engages in the natural gas transmission, distribution, and sales; operation and management of gas station; urban heating supply; operation and management of taxi; and provision of gas facility and equipment installation services. It also holds the urban natural gas pipeline business. Xinjiang Torch Gas Co., Ltd was founded in 2003 and is based in Kashgar, China.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Xinjiang Torch Gas Co (603080) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥26.82 versus a price of ¥20.68 — about +30% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 603080?
Our 21-model fair value for Xinjiang Torch Gas Co is ¥26.82 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥20.68.
What is the quality score of 603080?
Xinjiang Torch Gas Co has a Quality Score of 83/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.